Profile image of Quan Vu

Dr Quan Vu

STAFF PROFILE

Position

Senior Lecturer

Faculty

Faculty of Business and Law

Department

BL Deakin Business School

Campus

Melbourne Burwood Campus

Qualifications

Doctor of Philosophy, Deakin University, 2015

Contact

q.vu@deakin.edu.au
+61 3 924 68881

Biography

Dr. Quan Vu is a Senior Lecturer at the Department of Information Systems and Business Analytics, Deakin University. Quan obtained his PhD in Computer Science from Deakin University in 2015, and BInfTech from the same university in 2010. His research focuses on data mining applications in tourism marketing and management. He has published in the top quality journals, such as Information & Management, Tourism Management, Journal of Travel Research and IEEE Transaction of Fuzzy Systems.

Read more on Quan's profile

Research interests

  • Machine Learning; Data Mining
  • Business Intelligence & Social Media Analytics
  • Tourism Marketing & Management

Units taught

  • MIS701 - Business Requirements Analysis
  • MIS772 - Predictive Analytics

Professional activities

Awards

  • IFITT Journal Paper of the Year Award 2016 (Third Place), 2018 (First Place)
  • Vice Chancellor Prize for the top honours thesis, Deakin University (2011)

Publications

Filter by

2020

Discovering highly profitable travel patterns by high-utility pattern mining

Huy Vu, Gang Li, Rob Law

(2020), Vol. 77, pp. 1-13, Tourism Management, Amsterdam, The Netherlands, C1

journal
2019

Identifying hotel competitiveness based on hotel feature ratings

H Xia, H Vu, Q Lan, R Law, G Li

(2019), Vol. 28, pp. 81-100, Journal of hospitality marketing and management, Abingdon, Eng., C1

journal

Does zonation and accessibility of wetlands influence human presence and mediate wildlife disturbance?

P Guay, W Van Dongen, E McLeod, D Whisson, H Vu, H Wang, M Weston

(2019), Vol. 62, pp. 1306-1320, Journal of environmental planning and management, Abingdon, Eng., C1

journal

Tourist behavior analysis in gaming destinations based on venue check-in data

J Luo, H Vu, G Li, R Law

(2019), Vol. 36, pp. 107-118, Journal of travel and tourism marketing, Abingdon, Eng., C1

journal

Exploring tourist dining preferences based on restaurant reviews

H Vu, G Li, R Law, Y Zhang

(2019), Vol. 58, pp. 149-167, Journal of travel research, London, Eng., C1

journal

Breach of traveller privacy in location-based social media

H Vu, R Law, G Li

(2019), Vol. 22, pp. 1825-1840, Current issues in tourism, Abingdon, Eng., C1

journal

A big-data analytics method for capturing visitor activities and flows: the case of an island country

S Miah, H Vu, J Gammack

(2019), pp. 1-19, Information technology and management, New York, N.Y., C1

journal

Discovering implicit activity preferences in travel itineraries by topic modeling

H Vu, G Li, R Law

(2019), Vol. 75, pp. 435-446, Tourism management, Amsterdam, The Netherlands, C1

journal

A location analytics method for the utilisation of geotagged photos in travel marketing decision-making

S Miah, H Vu, J Gammack

(2019), Vol. 18, pp. 1-29, Journal of information and knowledge management, Singapore, C1-1

journal

Exploring tourist activities across cultures based on venue check-in data

Huy Vu

(2019), pp. 491-496, CAUTHE 2019: Sustainability of tourism, hospitality & events in a disruptive digital age: Proceedings of the 29th Annual CAUTHE Conference, Cairns, Qld., E1-1

conference

Evaluation of hotel brand competitiveness based on hotel features ratings

Haiyang Xia, Huy Vu, Rob Law, Gang Li

(2019), pp. 1-11, International journal of hospitality management, Amsterdam, The Netherlands, C1

journal
2018

Evaluating museum visitor experiences based on user-generated travel photos

H Vu, J Luo, B Ye, G Li, R Law

(2018), Vol. 35, pp. 493-506, Journal of travel and tourism marketing, Philadelphia, Pa., C1

journal

Travel diaries analysis by sequential rule mining

H Vu, G Li, R Law, Y Zhang

(2018), Vol. 57, pp. 399-413, Journal of travel research, London, Eng., C1

journal

Tourist activity analysis by leveraging mobile social media data

H Vu, G Li, R Law, Y Zhang

(2018), Vol. 57, pp. 883-898, Journal of travel research, London, Eng., C1

journal

Domestic violence crisis identification from Facebook posts based on deep learning

S Subramani, H Wang, H Vu, G Li

(2018), Vol. 6, pp. 54075-54085, IEEE access, Piscataway, N.J., C1

journal

Fuzzy connectives for efficient image reduction and speeding up image analysis

G Beliakov, G Das, H Vu, T Wilkin, Y Xiang

(2018), Vol. 6, pp. 68403-68414, IEEE Access, Piscataway, N.J., C1

journal

Cross-country analysis of tourist activities based on venue-referenced social media data

H Vu, G Li, R Law

(2018), pp. 1-17, Journal of travel research, London, Eng., C1

journal

Automatic hotel photo quality assessment based on visual features

Aleksandar Trpkovski, Huy Vu, Gang Li, Hua Wang, Rob Law

(2018), pp. 394-393, ENTER2018 : Digital tourism: engagement, content, and networks : Proceedings of the 25th Annual International Conference on Information and Communication Technologies in Tourism 2018, Jnkping, Sweden, E1

conference
2017

A big data analytics method for tourist behaviour analysis

S Miah, H Vu, J Gammack, M McGrath

(2017), Vol. 54, pp. 771-785, Information and management, Amsterdam, The Netherlands, C1-1

journal
2016

Exploring park visitors' activities in Hong Kong using geotagged photos

Huy Vu, Rosanna Leung, Jia Rong, Yuan Miao

(2016), pp. 183-196, ENTER2016 : Proceedings of the 23rd Annual International Conference on Information and Communication Technologies in Tourism 2016, Bilbao, Spain, E1-1

conference

Tourists visit and photo sharing behavior analysis: a case study of Hong Kong temples

Rosanna Leung, Huy Vu, Jia Rong, Yuan Miao

(2016), pp. 197-209, ENTER2016 : Proceedings of the 23rd Annual Conference on Information and Communication Technologies in Tourism 2016, Bilbao, Spain, E1-1

conference
2015

Exploring the travel behaviors of inbound tourists to Hong Kong using geotagged photos

H Vu, G Li, R Law, B Ye

(2015), Vol. 46, pp. 222-232, Tourism management, Amsterdam, The Netherlands, C1

journal

Identifying emerging hotel preferences using emerging pattern mining technique

G Li, R Law, H Vu, J Rong, X Zhao

(2015), Vol. 46, pp. 311-321, Tourism management, Amsterdam, The Netherlands, C1

journal

Characterizing compactness of geometrical clusters using fuzzy measures

G Beliakov, G Li, H Vu, T Wilkin

(2015), Vol. 23, pp. 1030-1043, IEEE transactions on fuzzy systems, Piscataway, N.J., C1

journal
2014

A choquet integral toolbox and its application in customer preference analysis

H Vu, G Beliakov, G Li

(2014), pp. 247-272, Data mining applications with R, Waltham, MA., B1

chapter

Discovering implicit criteria preferences reflected in tourism journal ranking lists using the Choquet Integral

R Law, H Vu, G Li

(2014), Vol. 19, pp. 662-679, Asia Pacific journal of tourism research, Abingdon, England, C1

journal

Fuzzy measures of pixel cluster compactness

G Beliakov, G Li, H Vu, T Wilkin

(2014), pp. 1104-1111, FUZZ-IEEE 2014 : Proceedings of the 2014 IEEE International Conference on Fuzzy Systems, Beijing, China, E1

conference
2013

Discovering the hotel selection preferences of Hong Kong inbound travelers using the Choquet Integral

G Li, R Law, H Vu, J Rong

(2013), Vol. 36, pp. 321-330, Tourism Management, C1

journal
2012

A behavioral analysis of web sharers and browsers in Hong Kong using targeted association rule mining

J Rong, H Vu, R Law, G Li

(2012), Vol. 33, pp. 731-740, Tourism Management, C1

journal

Identifying microphone from noisy recordings by using representative instance one class-classification approach

H Vu, S Liu, X Yang, Z Li, Y Ren

(2012), Vol. 7, pp. 908-917, Journal of Networks, C1

journal

K-complex detection using a hybrid-synergic machine learning method

H Vu, G Li, N Sukhorukova, G Beliakov, S Liu, C Philippe, H Amiel, A Ugon

(2012), Vol. 42, pp. 1478-1490, IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews, C1

journal

A fuzzy decision support method for customer preferences analysis based on Choquet integral

H Vu, G Li, G Beliakov

(2012), pp. 75-82, FUZZ-IEEE 2012 : Proceedings of the IEEE 2012 International Conference on Fuzzy Systems, Brisbane, Qld., E1

conference
2011

Identifying changes and trends in Hong Kong outbound tourism

R Law, J Rong, H Vu, G Li, H Lee

(2011), Vol. 32, pp. 1106-1114, Tourism Management, C1

journal

Microphone identification using one-class classification approach

H Vu, S Liu, Z Li, G Li

(2011), pp. 30-37, ATIS 2011 : Workshop proceedingof ATIS 2011. Melbourne, November 9th, 2011. Second Applications and Techniques in Information Security Workshop, Melbourne, Vic., E1

conference
2010

Incorporating both positive and negative association rules into the analysis of outbound tourism in Hong Kong

G Li, R Law, J Rong, H Vu

(2010), Vol. 27, pp. 812-828, Journal of travel & tourism marketing, Philadelphia, Pa., C1

journal

A multiple population genetic algorithm and its application in fuzzy controller

Y Tian, H Vu

(2010), pp. 729-733, IITSI 2010 : Proceedings of the 3rd International Symposium on Intelligent Information Technology and Security Informatics, Jinggangshan, China, E1

conference

A visual mining system for theme development evolution analysis of scientific literature

J Wang, C Wen, S Wu, H Vu

(2010), Vol. 4, pp. 215-223, International journal of digital content technology and its applications JDCTA, Korea, C1

journal

Spamcooling : a parallel heterogeneous ensemble spam filtering system based on active learning techniques

J Wang, K Gao, H Vu

(2010), Vol. 5, pp. 90-102, Journal of convergence information technology, Korea, C1

journal

Text document clustering with metric learning

J Wang, S Wu, H Vu, G Li

(2010), pp. 783-784, Proceedings of the 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Geneva, Switzerland, E1

conference

Study on student score based on data mining

J Wang, S Wu, Y Jiao, H Vu

(2010), Vol. 5, pp. 171-179, Journal of convergence information technology, Korea, C1

journal

Funded Projects at Deakin

No Funded Projects at Deakin found

Supervisions

No completed student supervisions to report